---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-char
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-char

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co./distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5972

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1436        | 0.85  | 500  | 1.8943          |
| 1.8911        | 1.71  | 1000 | 1.8065          |
| 1.8073        | 2.56  | 1500 | 1.7359          |
| 1.7668        | 3.41  | 2000 | 1.6907          |
| 1.733         | 4.27  | 2500 | 1.6564          |
| 1.7104        | 5.12  | 3000 | 1.6499          |
| 1.6915        | 5.97  | 3500 | 1.6258          |
| 1.6772        | 6.83  | 4000 | 1.6089          |
| 1.6617        | 7.68  | 4500 | 1.5982          |
| 1.6563        | 8.53  | 5000 | 1.6035          |
| 1.649         | 9.39  | 5500 | 1.5764          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3